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Detection of Systematic Error Based on Integral Matched Filter

Duan Xiaojun Zhu Jubo Wang Guangxin(National University of Defense Technology,Changsha 410073)   

  • Published:2006-02-25
  • Supported by:
    国家自然科学基金(60272013);; 全国优秀博士论文作者专项基金项目(200140)

Abstract: As far as the target tracking system is concerned,if the measurement units applied in data fusion,such as location or velocity,have systematic error,the Least-square differential smooth method can be used to filter and detect the systematic error.Since the processing precision of differential smooth method is low,a method of integral matched filter is proposed.The(mathematical) deduction testifies that this method can obtain more precise systematic error(estimation) than the differential smooth method.And the simulation result also verifies this(conclusion).